Compares 6 ML classifiers (Naive Bayes, Logistic Regression, KNN, Decision Tree, SVM, Random Forest) to detect spam messages. Uses TF-IDF vectorization and SMOTE for class balancing. Best model (SVM, ~98.2% accuracy) is saved for inference via CLI.
☆57May 13, 2026Updated 2 months ago
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